Face Recognition with 2D-Convolutional Neural Network

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Vaibhav Krishna Bhosle
Supriya S
Sowmya M S
Varun Subramani
Prof Shruthi G

Abstract

An open source build algorithm to identify any miscellaneous activity in the area where some important or precious items like cash, gold, costly items or important documents are kept in the room. This is the most efficient and innovative algorithm that has the capacity and ability to replace existing security appliances like CCTV cameras and night vision cameras.In this 21st century the technology demands a lot of storage and computational power and hence the major parts of the IT industries are moving towards “Sensor Networksâ€. With Image Recognition becoming more and more efficient, there are a lot of new innovative applications coming in the market. This algorithm helps in the security industry where there is a huge problem of storage and efficiency.


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References

Andrea Zanella ; Nicola Bui ; Angelo Castellani ; Lorenzo Vangelista ; Michele Zorzi, "Internet of things for Smart Cities", IEEE, February 2014, pp: 22 - 32 10.1109/JIOT.2014.2306328.

Wenbin Wu ; Mugen Peng "A data mining approach combining k-means clustering with bagging neural network for short-term wind power forecasting", IEEE, March 2017, pp: 979 - 986, 10.1109/JIOT.2017.2677578.

Joseph Siryani , Bereket Tanju ; Timothy J. Eveleigh "A machine learning Decision-support system improves the internet of things’ smart meter operations", IEEE, June 2017, pp: 1056 - 1066, 10.1109/JIOT.2017.2722358.

Guanghan Ning, Zhi Zhang, Zhihai He, "KnowledgeGuided Deep Fractal Neural Networks for humans pose estimation", arXiv, Aug 2017. pp:1-13, 1705.02407v2